Abstract
This article discusses modern approaches to optimizing logistics in the agronomic sector using digital technologies. In the context of growing demand for high-quality agricultural products and increasing global competition, agricultural enterprises are faced with the need to introduce innovative solutions for managing transportation and storage of products. Special attention is paid to the design of a system aimed at reducing losses and increasing the efficiency of logistics processes. The use of information technologies such as transportation management systems (TMS), the Internet of Things (IoT) and machine learning can improve the accuracy and speed of operations, minimize costs and improve product quality. The article discusses in detail modelling methods using UML diagrams, which allows you to create a clear and complete picture of the structure and behaviour of the system. These results demonstrate a significant improvement in logistics processes, which contributes to increasing the sustainability and competitiveness of agricultural enterprises in the global market.
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